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    625 EPTO genera of France

    Title
    EPTO genera of France
    Description

    EPTO genera of France

     

    Study site: France. Authors: Mathieu Floury & Kris Van Looy. Sampling days available upon communication with Mathieu Floury.

     

    Contact details:

    Mathieu Floury. E-mail: mathieu.floury@univ-lyon1.fr. ORCID: https:/orcid.org/0000-0002-4952-5807. Affiliation: 1) Univ Lyon, Université Claude Bernard Lyon 1, CNRS, ENTPE, UMR 5023 LEHNA, F-69622, Villeurbanne, France 2) Leibniz Institute of Freshwater Ecology and Inland Fisheries, Berlin, Germany.

    Kris Van Looy. E-mail: kris.van-looy@irstea.fr. ORCID: https:/orcid.org/0000-0001-5436-2320. Affiliation: currently OVAM, Belgium.

     

     

    Coordinates of the bounding box (ulx, uly, lrx, lry): -4.52, 50.91, 9.49, 41.66

    Centroid coordinates (x,y): 2.614735,46.238976

    Number of records: 37329

     

    The dataset includes records in areas: 

    Not protected on the observation date (0)

    Protected on the observation date (1)

    Protected on a date following the observation date (2)

    using the November 2022 version of the Protected Planet WDPA WD-OECM dataset 

        (Protected Planet: World Database on Protected Areas (WDPA) 

        and World Database on Other Effective Area-based Conservation Measures (WD-OECM), UNEP-WCMC and IUCN, 2022). 

        Please see publication for further information.

     

    Freshwater Ecoregions of the World (FEOW, Abell et al., 2008) covered: 403,404,414,416

     

     

    Taxonomic focus of the study: Benthic macroinvertebrates

     

    Survey methods: Surber net

     

    Study site
    _global
    GeoNode references

    GeoNode layers

    • EPTO_genera_of_France
    Contact
    Afroditi Grigoropoulou
    Licence for data
    All rights reserved. Please send a request to Afroditi Grigoropoulou if you like to use this data. Mind our data policy: IGB Data Policy
    Current doi
    10.18728/igb-fred-787.2

    Metadata files

    TitleUpload dateFiletypeLicenceActions
    Column_explanation.pdf15. Nov. 2022 14:05.pdfODC-By Download

    Data files (e.g. excel)

    TitlecreatedFiletypeActions
    EPTO_genera_of_France.csv 15. Nov. 2022 14:05 datatable: .csv Download

    Machine Readable Metadata Files

    FRED provides all metadata of this package in a maschine readable format. There is a pure XML file and one EML file in Ecological Metadata Language. Both files are published under the freeODC-ByLicence.

    • EPTO_genera_of_France.xml
    • EPTO_genera_of_France.eml

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    Parsing data File

    Estimated Time:

    Why does it take so much time?

    While parsing a file, the database has to perform various tasks, some of them needs a lot of CPU and memory for larger files.

    • preprocessing: means automatic detection of headlines, table body, format values or csv-separators
    • copying: means read the file cell by cell and copy all elements to the database. During this format settings can be calculated (for example iso-time)
    • analyzing: check out for different data types (can be time, numeric or text)